Xun Huang

Senior Research Scientist

Remote

Xun Huang is a Senior Research Scientist at Adobe Research and an Adjunct Professor at Carnegie Mellon University. He was previously a researcher at NVIDIA from 2020 to 2024. He obtained his Ph.D. in Computer Science from Cornell University in 2020 under the advisement of Professor Serge Belongie. His doctoral research was recognized with the Adobe Research Fellowship, Snap Research Fellowship, and NVIDIA Graduate Fellowship. His research interests lie broadly in deep generative models, with a recent focus on video world models and multimodal generative models.

Publications

From Slow Bidirectional to Fast Autoregressive Video Diffusion Models

Yin, Tianwei., Zhang, Qiang., Zhang, Richard., Freeman, William., Durand, Fredo., Shechtman, Eli., Huang, Xun. (Jun. 15, 2025)

#1 on VBench Leaderboard at submission

Conference on Computer Vision and Pattern Recognition (CVPR 2025)

Self Forcing Bridging the Train-Test Gap in Autoregressive Video Diffusion

Huang, Xun., Li, Zhengqi., He, Guande., Zhou, Mingyuan., Shechtman, Eli., Shechtman, Shechtman. (Jun. 9, 2025)

arxiv

Long-Context State-Space Video World Models

Po, Ryan., Nitzan, Yotam., Zhang, Richard., Chen, Berlin., Dao, Tri., Shechtman, Eli., Wetzstein, Gordon., Huang, Xun. (May. 26, 2025)

arxiv

X-Fusion: Introducing New Modality to Frozen Large Language Models

Mo, Sicheng., Nguyen, Thao., Huang, Xun., Iyer, Siddharth., Li, Yijun., Liu, Yuchen., Tandon, Abhishek., Shechtman, Eli., Singh, Krishna., Lee, Yong., Zhou, Bolei., Li, Yuheng. (Apr. 29, 2025)

Best Paper award at T4V workshop CVPR'25

arxiv